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  1. OA@INAF
  2. PRODOTTI RICERCA INAF
  3. 1 CONTRIBUTI IN RIVISTE (Journal articles)
  4. 1.01 Articoli in rivista
Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12386/33205
Title: The ULTraS project: Understanding the X-ray variable and transient sky
Authors: DE LUCA, Andrea 
ISRAEL, Gian Luca 
SALVATERRA, Ruben 
BELFIORE,A.
DE MARTINO, Domitilla 
ESPOSITO, PAOLO 
KOVACEFIC,M.
MARELLI, Martino 
MEREGHETTI, Sandro 
MIGNANI, Roberto 
MOTTA, Sara Elisa 
NOVARA,G.
PASQUATO, MARIO 
Pintore, Fabio 
PIZZOCARO,D.
RODRIGUEZ CASTILLO, Guillermo Andres 
SIDOLI, Lara 
STELZER, BEATE 
TIENGO,A.
WOLTER, Anna Luisa Maria 
ZAMPIERI, Luca 
Issue Date: 2022
Journal: MEMORIE DELLA SOCIETA ASTRONOMICA ITALIANA 
Number: 93
Issue: 2
First Page: 122
Abstract: Time variability is ubiquitous in the X-ray sky and is a unique probe of a wide diversity of astrophysical processes. The aim of the ULTraS (Understanding the Xray variable and transient sky) project is to exploit the scientific results and products from the EU/FP7-funded project EXTraS (a systematic characterisation of time variability in all XMM-Newton sources) and from its more recent developments. In particular, we have addressed a series of science cases, from the search for rare phenomena to the characterization of the properties of source classes, on a large variety of astrophysical objects, ranging from nearby, ultracool stars to exploding supernovae in distant galaxies. Results described here prove the effectiveness and the potential for discovery of our systematic temporal characterization. A full exploitation of the temporal information in the XMM-Newton/EXTraS archive requires a different approach, based on artificial intelligence – this seems definitely the perspective we should adopt to cope with the high data volume expected from future X-ray facilities
URI: http://hdl.handle.net/20.500.12386/33205
URL: https://memsait.oa-roma.inaf.it/wp-content/uploads/2022/11/2022MmSAI..2-3..122D.pdf
http://sait.oat.ts.astro.it/ToC.htm
ISSN: 0037-8720
Bibcode ADS: 2022MmSAI..93b.122D
Fulltext: open
Appears in Collections:1.01 Articoli in rivista

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